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overload NNlib._rng_compat_array #62

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merged 2 commits into from
Jan 7, 2023
Merged

overload NNlib._rng_compat_array #62

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ada027b
overload NNlib._rng_compat_array
mcabbott Jan 7, 2023
1f56f10
trigger CI
mcabbott Jan 7, 2023
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4 changes: 2 additions & 2 deletions Project.toml
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
name = "NNlibCUDA"
uuid = "a00861dc-f156-4864-bf3c-e6376f28a68d"
version = "0.2.5"
version = "0.2.6"

[deps]
Adapt = "79e6a3ab-5dfb-504d-930d-738a2a938a0e"
Expand All @@ -13,7 +13,7 @@ Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
[compat]
Adapt = "3.3"
CUDA = "3.11"
NNlib = "0.8.14"
NNlib = "0.8.15"
julia = "1.6"

[extras]
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4 changes: 4 additions & 0 deletions src/utils.jl
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Original file line number Diff line number Diff line change
@@ -1,5 +1,9 @@
NNlib._rng_from_array(::CuArray) = CUDA.default_rng()

NNlib._rng_compat_array(rng::CUDA.RNG, A::CuArray) = nothing
NNlib._rng_compat_array(rng::AbstractRNG, A::CuArray) = throw(ArgumentError(
"cannot use rng::$(typeof(rng)) with array::CuArray, only CUDA's own RNG type works"))

function divide_kernel!(xs, ys, max_idx)
index = threadIdx().x + (blockIdx().x - 1) * blockDim().x

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